From Zero To Your First AI Employee in 37 Minutes (With Hermes AI)

Creating Your First AI Employee

Introduction to AI Employees

• The episode features Nick Gaslesco, who discusses the ease of creating an AI employee capable of prospecting and generating sales pipelines.

• Nick is introduced as the co-founder and head of growth at Orgo, a product that provides agents with cloud-based computers.

Understanding Autonomous Work

• There is ongoing discussion about AI's capability for fully autonomous work; however, practical examples remain limited.

• Nick aims to demonstrate how to implement a concrete first AI employee using a system called Hermes.

Building Your First AI Employee

• The process of building an AI employee has become significantly faster compared to six months ago.

• It’s recommended to start with a specific workflow rather than expecting the AI to handle every task immediately.

Workflow Implementation

• Focusing on one use case simplifies the setup and reduces potential failure points while allowing for expansion into other tasks later.

• The goal is for the AI employee to function like a real team member, providing updates and managing tasks through messaging platforms.

Leveraging Customer Engagement

• The initial use case involves re-engaging past customers or leads that have not been contacted in some time.

• This approach targets warm audiences, which can lead to quick revenue generation by crafting email sequences and offers.

Tools Required for Creating an AI Employee

Essential Tools Overview

• To create an effective AI employee, tools such as Agent Mail (for email management), Hermes (the automation harness), and GLM 5.2 (a powerful model from ZAI) are necessary.

Agent Mail

• Agent Mail allows users to assign dedicated email inboxes for their AI employees, facilitating communication.

Hermes Automation Harness

• Hermes serves as a more reliable alternative to OpenClaw, designed specifically for current agent use cases.

Model Selection: GLM 5.2

• GLM 5.2 is highlighted as an affordable open-source model that outperforms competitors in certain scenarios.

Connecting Tools Seamlessly

Using Composio for Integration

• Composio simplifies connecting various platforms by allowing users to authorize all tools in one click.

Benefits of Composio

• Once connected through Composio, users can install just one connector into their Hermes agent for access across all integrated tools.

Setting Up Your Virtual Computer

Importance of Virtual Computers

• Every AI agent requires its own virtual computer environment where it can operate independently without physical limitations like hardware failures.

Orgo's Role

• Orgo provides these virtual environments enabling agents to perform tasks autonomously similar to traditional computers.

Creating Agents with Templates

Streamlined Setup Process

• New templates allow users to quickly set up agents without manual installations or configurations.

Launching Agents

• Users can easily name their agents during setup; this example uses "Kip" as the chosen name.

Why Choose Hermes Over OpenClaw?

Reliability Comparison

• Nick shares his preference for Hermes due to its reliability compared with OpenClaw which had issues in the past.

Trust Factor

• Consistent performance builds trust in automated systems; any breakdown could lead businesses away from using them again.

Final Thoughts on Future Skills Needed

Evolving Skill Sets

• As technology advances, marketers may need both technical skills and intuitive understanding of workflows but models will likely simplify processes over time.

Conclusion on Learning Systems

• While understanding systems remains valuable now, future advancements may allow users simply describe desired outcomes without needing detailed knowledge of workflows.

Setting Up Contextual AI Agents

Ingesting Updates and Cleaning Data

• The command ingest is used to pull in updates from a log file, checking for changes made in the last two days.

• A lint command helps clean up inconsistencies by prompting users to choose between conflicting data points.

• The integration with Obsidian allows syncing with GitHub every five minutes or using a managed cloud service for instant updates.

Building an AI Knowledge Base

• Users can create a comprehensive knowledge base in Obsidian that provides context about projects and team members, enhancing AI efficiency.

• The setup process involves ensuring that Composeio is installed and operational before querying the agent about its status.

Connecting Email and Automation Tools

Integrating Agent Mail

• Agent Mail is introduced as a free tool for creating an inbox, which can be connected to Composeio for email automation.

• Users can instruct their agents to build customer re-engagement sequences based on existing customer data from platforms like Stripe.

Automating Customer Engagement

• The agent can automate tasks such as sending emails at scheduled intervals using cron jobs, streamlining communication efforts.

• Users have the flexibility to interact with the agent through simple prompts without needing detailed instructions each time.

Managing Responses and Feedback Loops

Real-Time Interaction with Agents

• Once set up, users can communicate with their agents via messaging apps like Telegram or Slack to check on task progress or receive updates.

• Having an agent with its own email inbox allows it to manage responses independently while keeping users informed of important interactions.

Ensuring Quality Control

• If the agent generates low-quality responses, it has mechanisms in place to loop back information to the user for oversight and adjustments.

Scaling AI Operations

Cloning AI Agents

• Users can clone existing agents, allowing them to delegate different tasks or roles within their operations efficiently.

• Each cloned agent retains all configurations from its predecessor, enabling rapid scaling of automated processes across various functions.

Future-Proofing Workflows

• By integrating multiple tools and models (like GLM), users can optimize workflows tailored specifically for their business needs while managing everything from one platform.

Embracing Autonomous Agents

Leveraging Domain Expertise

• Users are encouraged to start small by automating controlled workflows before expanding into more complex tasks involving direct customer interaction.

Summary of Setup Steps

• Set up Composeio and connect necessary tools.

• Provide the agent with its own email account for effective communication management.

• Link a model (e.g., GLM 5.2).

• Create an Obsidian vault as a knowledge base for contextual understanding.

This structured approach enables businesses to harness AI effectively while maintaining control over quality and performance outcomes.